Best Python code snippet using hypothesis
income.py
Source:income.py  
...145        nb.add_response(negative)  # <=50K146        nb.add_response(positive)  # >50K147        num_of_responses = 2148        age = Feature("age", num_of_responses)149        age.add_category("0")  # <=20150        age.add_category("1")  # 21-25151        age.add_category("2")  # 26-30152        age.add_category("3")  # 31-35153        age.add_category("4")  # 36-40154        age.add_category("5")  # 41-45155        age.add_category("6")  # 46-50156        age.add_category("7")  # 51-55157        age.add_category("8")  # 56-60158        age.add_category("9")  # 61-65159        age.add_category("10")  # 66+160        nb.add_feature(age)161        workclass = Feature("workclass", num_of_responses)162        workclass.add_category("Private")163        workclass.add_category("Self-emp-not-inc")164        workclass.add_category("Self-emp-inc")165        workclass.add_category("Federal-gov")166        workclass.add_category("Local-gov")167        workclass.add_category("State-gov")168        workclass.add_category("Without-pay")169        workclass.add_category("Never-worked")170        nb.add_feature(workclass)171        education = Feature("education", num_of_responses)172        education.add_category("Bachelors")173        education.add_category("Some-college")174        education.add_category("11th")175        education.add_category("HS-grad")176        education.add_category("Prof-school")177        education.add_category("Assoc-acdm")178        education.add_category("Assoc-voc")179        education.add_category("9th")180        education.add_category("7th-8th")181        education.add_category("12th")182        education.add_category("Masters")183        education.add_category("1st-4th")184        education.add_category("10th")185        education.add_category("Doctorate")186        education.add_category("5th-6th")187        education.add_category("Preschool")188        nb.add_feature(education)189        marital_status = Feature("marital_status", num_of_responses)190        marital_status.add_category("Married-civ-spouse")191        marital_status.add_category("Divorced")192        marital_status.add_category("Never-married")193        marital_status.add_category("Separated")194        marital_status.add_category("Widowed")195        marital_status.add_category("Married-spouse-absent")196        marital_status.add_category("Married-AF-spouse")197        nb.add_feature(marital_status)198        occupation = Feature("occupation", num_of_responses)199        occupation.add_category("Tech-support")200        occupation.add_category("Craft-repair")201        occupation.add_category("Other-service")202        occupation.add_category("Sales")203        occupation.add_category("Exec-managerial")204        occupation.add_category("Prof-specialty")205        occupation.add_category("Handlers-cleaners")206        occupation.add_category("Machine-op-inspct")207        occupation.add_category("Adm-clerical")208        occupation.add_category("Farming-fishing")209        occupation.add_category("Transport-moving")210        occupation.add_category("Priv-house-serv")211        occupation.add_category("Protective-serv")212        occupation.add_category("Armed-Forces")213        nb.add_feature(occupation)214        relationship = Feature("relationship", num_of_responses)215        relationship.add_category("Wife")216        relationship.add_category("Own-child")217        relationship.add_category("Husband")218        relationship.add_category("Not-in-family")219        relationship.add_category("Other-relative")220        relationship.add_category("Unmarried")221        nb.add_feature(relationship)222        race = Feature("race", num_of_responses)223        race.add_category("White")224        race.add_category("Asian-Pac-Islander")225        race.add_category("Amer-Indian-Eskimo")226        race.add_category("Other")227        race.add_category("Black")228        nb.add_feature(race)229        sex = Feature("sex", num_of_responses)230        sex.add_category("Female")231        sex.add_category("Male")232        nb.add_feature(sex)233        hours_per_week = Feature("hours_per_week", num_of_responses)234        hours_per_week.add_category("0")  # <5235        hours_per_week.add_category("1")  # 5-14236        hours_per_week.add_category("2")  # 15-24237        hours_per_week.add_category("3")  # 25-34238        hours_per_week.add_category("4")  # 35-44239        hours_per_week.add_category("5")  # 45-54240        hours_per_week.add_category("6")  # 55-64241        hours_per_week.add_category("7")  # 65-74242        hours_per_week.add_category("8")  # 75-84243        hours_per_week.add_category("9")  # 85-94244        hours_per_week.add_category("10")  # 95+245        nb.add_feature(hours_per_week)...mushroom.py
Source:mushroom.py  
...39        nb.add_response(negative)  # poisonous/unknown edibility/not recommended40        nb.add_response(positive)  # edible41        num_of_responses = 242        cap_shape = Feature("cap_shape", num_of_responses)43        cap_shape.add_category("b")  # bell44        cap_shape.add_category("c")  # conical45        cap_shape.add_category("x")  # convex46        cap_shape.add_category("f")  # flat47        cap_shape.add_category("k")  # knobbed48        cap_shape.add_category("s")  # sunken49        nb.add_feature(cap_shape)50        cap_surface = Feature("cap_surface", num_of_responses)51        cap_surface.add_category("f")  # fibrous52        cap_surface.add_category("g")  # grooves53        cap_surface.add_category("y")  # scaly54        cap_surface.add_category("s")  # smooth55        nb.add_feature(cap_surface)56        cap_color = Feature("cap_color", num_of_responses)57        cap_color.add_category("n")  # brown58        cap_color.add_category("b")  # buff59        cap_color.add_category("c")  # cinnamon60        cap_color.add_category("g")  # gray61        cap_color.add_category("r")  # green62        cap_color.add_category("p")  # pink63        cap_color.add_category("u")  # purple64        cap_color.add_category("e")  # red65        cap_color.add_category("w")  # white66        cap_color.add_category("y")  # yellow67        nb.add_feature(cap_color)68        bruises = Feature("bruises", num_of_responses)69        bruises.add_category("t")  # bruises70        bruises.add_category("f")  # no bruises71        nb.add_feature(bruises)72        odor = Feature("odor", num_of_responses)73        odor.add_category("a")  # almond74        odor.add_category("l")  # anise75        odor.add_category("c")  # creosote76        odor.add_category("y")  # fishy77        odor.add_category("f")  # foul78        odor.add_category("m")  # musty79        odor.add_category("n")  # none80        odor.add_category("p")  # pungent81        odor.add_category("s")  # spicy82        nb.add_feature(odor)83        gill_attachment = Feature("gill_attachment", num_of_responses)84        gill_attachment.add_category("a")  # attached85        gill_attachment.add_category("d")  # descending86        gill_attachment.add_category("f")  # free87        gill_attachment.add_category("n")  # notched88        nb.add_feature(gill_attachment)89        gill_spacing = Feature("gill_spacing", num_of_responses)90        gill_spacing.add_category("c")  # close91        gill_spacing.add_category("w")  # crowded92        gill_spacing.add_category("d")  # distant93        nb.add_feature(gill_spacing)94        gill_size = Feature("gill_size", num_of_responses)95        gill_size.add_category("b")  # broad96        gill_size.add_category("n")  # narrow97        nb.add_feature(gill_size)98        gill_color = Feature("gill_color", num_of_responses)99        gill_color.add_category("k")  # black100        gill_color.add_category("n")  # brown101        gill_color.add_category("b")  # buff102        gill_color.add_category("h")  # chocolate103        gill_color.add_category("g")  # gray104        gill_color.add_category("r")  # green105        gill_color.add_category("o")  # orange106        gill_color.add_category("p")  # pink107        gill_color.add_category("u")  # purple108        gill_color.add_category("e")  # red109        gill_color.add_category("w")  # white110        gill_color.add_category("y")  # yellow111        nb.add_feature(gill_color)112        stalk_shape = Feature("stalk_shape", num_of_responses)113        stalk_shape.add_category("e")  # enlarging114        stalk_shape.add_category("t")  # tapering115        nb.add_feature(stalk_shape)116        stalk_root = Feature("stalk_root", num_of_responses)117        stalk_root.add_category("b")  # bulbous118        stalk_root.add_category("c")  # club119        stalk_root.add_category("u")  # cup120        stalk_root.add_category("e")  # equal121        stalk_root.add_category("z")  # rhizomorphs122        stalk_root.add_category("r")  # rooted123        stalk_root.add_category("?")  # missing124        nb.add_feature(stalk_root)125        stalk_surface_above_ring = Feature("stalk_surface_above_ring", num_of_responses)126        stalk_surface_above_ring.add_category("f")  # fibrous127        stalk_surface_above_ring.add_category("y")  # scaly128        stalk_surface_above_ring.add_category("k")  # silky129        stalk_surface_above_ring.add_category("s")  # smooth130        nb.add_feature(stalk_surface_above_ring)131        stalk_surface_below_ring = Feature("stalk_surface_below_ring", num_of_responses)132        stalk_surface_below_ring.add_category("f")  # fibrous133        stalk_surface_below_ring.add_category("y")  # scaly134        stalk_surface_below_ring.add_category("k")  # silky135        stalk_surface_below_ring.add_category("s")  # smooth136        nb.add_feature(stalk_surface_below_ring)137        stalk_color_above_ring = Feature("stalk_color_above_ring", num_of_responses)138        stalk_color_above_ring.add_category("n")  # brown139        stalk_color_above_ring.add_category("b")  # buff140        stalk_color_above_ring.add_category("c")  # cinnamon141        stalk_color_above_ring.add_category("g")  # gray142        stalk_color_above_ring.add_category("o")  # orange143        stalk_color_above_ring.add_category("p")  # pink144        stalk_color_above_ring.add_category("e")  # red145        stalk_color_above_ring.add_category("w")  # white146        stalk_color_above_ring.add_category("y")  # yellow147        nb.add_feature(stalk_color_above_ring)148        stalk_color_below_ring = Feature("stalk_color_below_ring", num_of_responses)149        stalk_color_below_ring.add_category("n")  # brown150        stalk_color_below_ring.add_category("b")  # buff151        stalk_color_below_ring.add_category("c")  # cinnamon152        stalk_color_below_ring.add_category("g")  # gray153        stalk_color_below_ring.add_category("o")  # orange154        stalk_color_below_ring.add_category("p")  # pink155        stalk_color_below_ring.add_category("e")  # red156        stalk_color_below_ring.add_category("w")  # white157        stalk_color_below_ring.add_category("y")  # yellow158        nb.add_feature(stalk_color_below_ring)159        veil_type = Feature("veil_type", num_of_responses)160        veil_type.add_category("p")  # partial161        veil_type.add_category("u")  # universal162        nb.add_feature(veil_type)163        veil_color = Feature("veil_color", num_of_responses)164        veil_color.add_category("n")  # brown165        veil_color.add_category("o")  # orange166        veil_color.add_category("w")  # white167        veil_color.add_category("y")  # yellow168        nb.add_feature(veil_color)169        ring_number = Feature("ring_number", num_of_responses)170        ring_number.add_category("n")  # none171        ring_number.add_category("o")  # one172        ring_number.add_category("t")  # two173        nb.add_feature(ring_number)174        ring_type = Feature("ring_type", num_of_responses)175        ring_type.add_category("c")  # cobwebby176        ring_type.add_category("e")  # evanescent177        ring_type.add_category("f")  # flaring178        ring_type.add_category("l")  # large179        ring_type.add_category("n")  # none180        ring_type.add_category("p")  # pendant181        ring_type.add_category("s")  # sheathing182        ring_type.add_category("z")  # zone183        nb.add_feature(ring_type)184        spore_print_color = Feature("spore_print_color", num_of_responses)185        spore_print_color.add_category("k")  # black186        spore_print_color.add_category("n")  # brown187        spore_print_color.add_category("b")  # buff188        spore_print_color.add_category("h")  # chocolate189        spore_print_color.add_category("r")  # green190        spore_print_color.add_category("o")  # orange191        spore_print_color.add_category("u")  # purple192        spore_print_color.add_category("w")  # white193        spore_print_color.add_category("y")  # yellow194        nb.add_feature(spore_print_color)195        population = Feature("population", num_of_responses)196        population.add_category("a")  # abundant197        population.add_category("c")  # clustered198        population.add_category("n")  # numerous199        population.add_category("s")  # scattered200        population.add_category("v")  # several201        population.add_category("y")  # solitary202        nb.add_feature(population)203        habitat = Feature("habitat", num_of_responses)204        habitat.add_category("g")  # grasses205        habitat.add_category("l")  # leaves206        habitat.add_category("m")  # meadows207        habitat.add_category("p")  # paths208        habitat.add_category("u")  # urban209        habitat.add_category("w")  # waste210        habitat.add_category("d")  # woods211        nb.add_feature(habitat)...scores.py
Source:scores.py  
...11        self.points = points12        self.categories = {}13        self.lcategories = []14        15    def add_category(self, cid, name, points):16        self.categories[cid] = (name, points)17        self.lcategories.append(cid)18    19PROJ_1A = Project("Project 1a", 50)    20PROJ_1B = Project("Project 1b", 100)    21PROJ_1C = Project("Project 1c", 100)    22PROJECTS = [PROJ_1A, PROJ_1B, PROJ_1C]23PROJ_1A.add_category("BASIC_CONNECTION", "Basic Connection", 50)24PROJ_1B.add_category("CONNECTION_REGISTRATION", "Connection Registration", 40)25PROJ_1B.add_category("PRIVMSG_NOTICE", "PRIVMSG and NOTICE", 30)26PROJ_1B.add_category("PING_PONG", "PING and PONG", 2.5)27PROJ_1B.add_category("MOTD", "MOTD", 5)    28PROJ_1B.add_category("LUSERS", "LUSERS", 10)29PROJ_1B.add_category("WHOIS", "WHOIS", 10)30PROJ_1B.add_category("ERR_UNKNOWN", "ERR_UNKNOWN", 2.5)31PROJ_1B.add_category("ROBUST", "Robustness", 0)32    33PROJ_1C.add_category("CHANNEL_JOIN", "JOIN", 15)34PROJ_1C.add_category("CHANNEL_PRIVMSG_NOTICE", "PRIVMSG and NOTICE to channels", 15)35PROJ_1C.add_category("CHANNEL_PART", "PART", 10)36PROJ_1C.add_category("CHANNEL_TOPIC", "TOPIC", 10)37PROJ_1C.add_category("MODES", "User and channel modes", 25)38PROJ_1C.add_category("AWAY", "AWAY", 5)39PROJ_1C.add_category("NAMES", "NAMES", 5)40PROJ_1C.add_category("LIST", "LIST", 5)41PROJ_1C.add_category("WHO", "WHO", 5)...Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
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